Michael D. Noseworthy
- Radiology, Nuclear Medicine and Imaging top 1%
- Cognitive Neuroscience top 5%
- Physiology top 10%
- Surgery
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Dinesh KumbhareRussell SchacharAndre ChevrierTatiana ZaraiskayaConrad RockelDonald MabbottDaniel P. BulteÉric Bouffet
- Topics
- Advanced MRI Techniques and Applications (58 papers)Advanced Neuroimaging Techniques and Applications (32 papers)Functional Brain Connectivity Studies (18 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingCognitive NeuroscienceOrthopedics and Sports Medicine
- Journals
- SHILAP Revista de lepidopterologíaJournal of Geophysical Research AtmospheresPLoS ONE
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Michael D. Noseworthy
154 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 163
- Radiology, Nuclear Medicine and Imaging 1.0k
- Cognitive Neuroscience 564
- Physiology 335
- Surgery 253
- Pulmonary and Respiratory Medicine 253
Countries citing papers authored by Michael D. Noseworthy
This map shows the geographic impact of Michael D. Noseworthy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael D. Noseworthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Noseworthy more than expected).
Fields of papers citing papers by Michael D. Noseworthy
This network shows the impact of papers produced by Michael D. Noseworthy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael D. Noseworthy. The network helps show where Michael D. Noseworthy may publish in the future.
Co-authorship network of co-authors of Michael D. Noseworthy
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Noseworthy. A scholar is included among the top collaborators of Michael D. Noseworthy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael D. Noseworthy. Michael D. Noseworthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 19 | |
| 9 | 23 | |
| 10 | 24 | |
| 11 | 26 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 12 | |
| 17 | 16 | |
| 18 | 1 | |
| 19 | 11 | |
| 20 | 4 |
About Michael D. Noseworthy
Michael D. Noseworthy is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Cognitive Neuroscience, having authored 161 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (58 papers), Advanced Neuroimaging Techniques and Applications (32 papers) and Functional Brain Connectivity Studies (18 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Cognitive Neuroscience (564 citations) and Orthopedics and Sports Medicine (205 citations). Michael D. Noseworthy has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Dinesh Kumbhare, Russell Schachar, Andre Chevrier, Tatiana Zaraiskaya, Conrad Rockel, Donald Mabbott, Daniel P. Bulte, Éric Bouffet, David R. Chettle and Fiona E. McNeill. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.